Tutorials

This is the tutorials page. Navigate the sidebar to find various tutorials.

External Blog Posts

Introducing Opacus, by Meta AI

Differential Privacy Blog Post Series

1. DP-SGD Algorithm Explained
2. Efficient Per-Sample Gradient Computation in Opacus
3. Efficient Per-Sample Gradient Computation for More Layers in Opacus
4. Enabling Fast Gradient Clipping and Ghost Clipping in Opacus

Videos*

* Note that Opacus API has changed over time and some of the code samples and demos in the videos may not work. The concepts presented in the videos though are concrete and still valid.

1. PyTorch Developer Day 2021: Fast and Flexible Differential Privacy Framework for PyTorch
2. OpenMined PriCon 2020 Tutorial: DP Model Training with Opacus
3. PyTorch Developer Day 2020: Differential Privacy on PyTorch

Blog Posts by OpenMined

1. Differentially Private Deep Learning In 20 Lines Of Code
2. PySyft + Opacus: Federated Learning With Differential Privacy